Abstract

This paper presents the results of a study that uses an innovative numerical method called the genetic algorithm for material parameter optimization in constitutive modeling. A genetic algorithm based hybrid method of obtaining material parameters is used to optimize material parameters of a disturbed state concept based constitutive model. The genetic algorithm and the new fitness function were found to be capable of optimizing material parameters of complex constitutive models.

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